{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T23:25:18Z","timestamp":1780356318272,"version":"3.54.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Public Welfare Industry (Agriculture) Research Projects Level-2","award":["201503116-04-06"],"award-info":[{"award-number":["201503116-04-06"]}]},{"name":"Postdoctoral Foundation of Heilongjiang Province","award":["LBHZ15020"],"award-info":[{"award-number":["LBHZ15020"]}]},{"DOI":"10.13039\/501100010845","name":"Harbin Applied Technology Research and Development Program","doi-asserted-by":"publisher","award":["2017RAQXJ096"],"award-info":[{"award-number":["2017RAQXJ096"]}],"id":[{"id":"10.13039\/501100010845","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Key Application Research and Development Program in China","award":["2018YFD0300105-2"],"award-info":[{"award-number":["2018YFD0300105-2"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2997001","type":"journal-article","created":{"date-parts":[[2020,5,25]],"date-time":"2020-05-25T22:35:56Z","timestamp":1590446156000},"page":"98716-98728","source":"Crossref","is-referenced-by-count":303,"title":["DCGAN-Based Data Augmentation for Tomato Leaf Disease Identification"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4787-2549","authenticated-orcid":false,"given":"Qiufeng","family":"Wu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0109-4742","authenticated-orcid":false,"given":"Yiping","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Meng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der maaten","year":"2008","journal-title":"J Mach Learn Res"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01216-8_14"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8655(97)00109-8"},{"key":"ref32","article-title":"LeafGAN: An effective data augmentation method for practical plant disease diagnosis","author":"huu cap","year":"2020","journal-title":"arXiv 2002 10100"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/7630926"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363678"},{"key":"ref37","author":"olivas","year":"2009","journal-title":"Handbook Of Research On Machine Learning Applications and Trends Algorithms Methods and Techniques"},{"key":"ref36","first-page":"396","article-title":"Handwritten digit recognition with a back-propagation network","author":"lecun","year":"1990","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref35","first-page":"30","article-title":"How many samples are needed to estimate a convolutional or recurrent neural network?","volume":"1050","author":"du","year":"2019","journal-title":"Stat"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59650-1_19"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2016.7533052"},{"key":"ref40","first-page":"2234","article-title":"Improved techniques for training GANs","author":"salimans","year":"2016","journal-title":"Proc Adv Neural Inf Process Syst (NIPS)"},{"key":"ref11","first-page":"314","article-title":"Advances in image recognition technology of crop diseases and insect pests based on deep learning","volume":"50","author":"jia","year":"2019","journal-title":"Transactions of the Chinese Society for Agricultural Machinery"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.5220\/0007363900480059"},{"key":"ref14","article-title":"Regularization for deep learning: A taxonomy","author":"kuka?ka","year":"2017","journal-title":"ArXiv 1710 10686"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.14419\/ijet.v7i4.11.20781"},{"key":"ref16","first-page":"2672","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref17","article-title":"Conditional generative adversarial nets","author":"mirza","year":"2014","journal-title":"arXiv 1411 1784"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1117\/12.2512004"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00919-9_6"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2019.104948"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s10327-006-0299-3"},{"key":"ref27","article-title":"An open access repository of images on plant health to enable the development of mobile disease diagnostics","author":"hughes","year":"2015","journal-title":"arXiv 1511 08060"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"1785","DOI":"10.1104\/pp.105.061226","article-title":"A second Kazal-like protease inhibitor from phytophthora infestans inhibits and interacts with the apoplastic pathogenesis-related protease P69B of tomato","volume":"138","author":"tian","year":"2005","journal-title":"Plant Physiol"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1653\/024.095.0136"},{"key":"ref29","first-page":"214","article-title":"Wasserstein GAN","author":"arjovsky","year":"2017","journal-title":"Proc Int Conf Mach Learn (ICML)"},{"key":"ref5","first-page":"465","article-title":"Studies on pathogenicity differentiation of Corynespora cassiicola isolates, against cucumber, tomato and eggplant","volume":"38","author":"gao","year":"2011","journal-title":"Acta Horticulturae Sinica"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.2013.0089"},{"key":"ref7","author":"matt","year":"2013","journal-title":"Smallholders Food Security and the Environment"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1128\/JVI.77.20.11016-11026.2003"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1590\/S0103-84782000000500003"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1007\/BF01999969","article-title":"Further identification of races of cladosporium fulvum (Fulvia fulva) on tomato originating from The Netherlands France and Poland","volume":"95","author":"lindhout","year":"1989","journal-title":"Netherlands Journal of Plant Pathology"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2018.8462241"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2947510"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2947606"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759442"},{"key":"ref42","first-page":"124","article-title":"Image classification of tomato leaf diseases based on transfer learning","volume":"24","author":"wang","year":"2019","journal-title":"Journal of China Agricultural University"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0123262"},{"key":"ref23","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inform Process Syst"},{"key":"ref44","first-page":"162","article-title":"Tomato leaf diseases recognition based on improved Multi-Scale AlexNet","volume":"35","author":"guo","year":"2019","journal-title":"Trans Chin Soc Agricult Eng"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/s11760-015-0751-y"},{"key":"ref25","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09099295.pdf?arnumber=9099295","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:52:15Z","timestamp":1639770735000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9099295\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2997001","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}